
51 - 200 employees
🛍️ eCommerce
🏪 Marketplace
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
🕒 April 30
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51 - 200 employees
🛍️ eCommerce
🏪 Marketplace
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
• Build and operate backend systems that serve AI-powered features in production. • Design inference pipelines, orchestration layers, and service boundaries around models. • Own production concerns: monitoring, logging, alerting, and incident response. • Optimize latency and throughput across inference, caching, batching, and streaming.
• Strong backend engineering fundamentals in production environments. • Experience running high-throughput, low-latency services. • Familiarity with AI inference patterns (LLMs, embeddings, multimodal). • Comfortable debugging distributed systems under load. • Bias toward shipping and learning from production behavior.
• We are a high talent density and hands-on team
Apply Now🕒 April 30
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